Status of research and development of learning-based approaches in nuclear science and engineering: A review
M Gomez-Fernandez, K Higley, A Tokuhiro… - … Engineering and Design, 2020 - Elsevier
Nuclear technology industries have increased their interest in using data-driven methods to
improve safety, reliability, and availability of assets. To do so, it is important to understand …
improve safety, reliability, and availability of assets. To do so, it is important to understand …
Spatio-temporal estimation of the daily cases of COVID-19 in worldwide using random forest machine learning algorithm
CM Yeşilkanat - Chaos, Solitons & Fractals, 2020 - Elsevier
Novel Coronavirus pandemic, which negatively affected public health in social,
psychological and economical terms, spread to the whole world in a short period of 6 …
psychological and economical terms, spread to the whole world in a short period of 6 …
Analysis of effective equivalent dose to the organs and cancer risk assessment due to natural outdoor gamma radiation in Eastern Thar Desert, India
The assessment of a population's radiological impact due to radiation emitted by natural
radionuclides is important because it is associated with the health of the people. The …
radionuclides is important because it is associated with the health of the people. The …
Breast cancer detection using a PSO-ANN machine learning technique
Abstract Machine learning is employed in all facets of life. Breast cancer has been known to
be the second most severe cancer that leads to death among women globally. The use of …
be the second most severe cancer that leads to death among women globally. The use of …
Predicting science achievement scores with machine learning algorithms: a case study of OECD PISA 2015–2018 data
S Acıslı-Celik, CM Yesilkanat - Neural Computing and Applications, 2023 - Springer
In this study, the performance of machine learning methods was examined in terms of
predicting the science education achievement scores of the students who took the exam for …
predicting the science education achievement scores of the students who took the exam for …
Applications of different machine learning methods on nuclear charge radius estimations
Theoretical models come into play when the radius of nuclear charge, one of the most
fundamental properties of atomic nuclei, cannot be measured using different experimental …
fundamental properties of atomic nuclei, cannot be measured using different experimental …
Machine learning predictions for cross-sections of 43, 44Sc radioisotope production by alpha-induced reactions on Ca target
Abstract 43, 44 Sc radioisotopes are an alternative to 18 F in positron emission tomography.
43, 44 Sc radioisotopes, which can be generated at low costs by irradiating inexpensive …
43, 44 Sc radioisotopes, which can be generated at low costs by irradiating inexpensive …
Blueprint of indoor gamma dose rate through statistical modelling for Kabirdham district
Naturally occurring radiation is present all around us. This study aims to predict the indoor
gamma dose rate for areas of Kabirdham district using a statistical analysis model because …
gamma dose rate for areas of Kabirdham district using a statistical analysis model because …
Application of deep learning in quantitative analysis of the infrared spectrum of logging gas
Infrared spectrum analysis technology can perform fast and nondestructive detection of gas
and has been widely used in many fields. This work studies the quantitative analysis …
and has been widely used in many fields. This work studies the quantitative analysis …
Simulating spatial variation of soil carbon content in the Yellow River Delta: comparative analysis of two artificial neural network models
C Wang, Y Cui, Z Ma, Y Guo, Q Wang, Y Xiu, R Xiao… - Wetlands, 2020 - Springer
A reasonable predicting model for spatial variation of soil carbon would be a useful tool in
monitoring and restoration of salt marshes. In this study, radial basis function neural …
monitoring and restoration of salt marshes. In this study, radial basis function neural …